| 基于粗糙集属性约简的文本分类 |
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| 引用本文： | 倪茂树,时达明,林鸿飞.基于粗糙集属性约简的文本分类[J].郑州大学学报(理学版),2007,39(2):100-103. |
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| 作者姓名： | 倪茂树 时达明 林鸿飞 |
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| 作者单位： | 大连理工大学计算机科学与工程系,辽宁,大连,116024 |
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| 基金项目： | 国家自然科学基金;国家高技术研究发展计划(863计划) |
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| 摘 要： | 基于属性约简的方法,放弃以往复杂的规则匹配算法,提出将约简后的多种属性组进行析取,筛选特征项,并构造分类器.实验结果表明,此算法不仅简单,还能降低维数和提高分类结果.
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| 关 键 词： | 文本分类 向量空间模型 粗糙集 属性约简 |
| 文章编号： | 1671-6841(2007)02-0100-04 |
| 修稿时间： | 11 15 2006 12:00AM |
Text Categorization Based on Rough Set Attributes Reduction |
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| NI Mao-shu,SHI Da-ming,LIN Hong-fei.Text Categorization Based on Rough Set Attributes Reduction[J].Journal of Zhengzhou University:Natural Science Edition,2007,39(2):100-103. |
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| Authors: | NI Mao-shu SHI Da-ming LIN Hong-fei |
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| Institution: | Department of Computer Science and Engineering, Dalian University of Technology, Dalian l16024,China |
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| Abstract: | Based on attributes reduction and discarding old complicated algorithms of matching rules,the method of combining several attributes set after attribute reduction and filtering the attributes,then constructing classifiers is presented. The results show that this way is not only easy,but also reduces the dimension and advances the results of categorization. |
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| Keywords: | text categorization vector space model rough set reduction of attribute |
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